Sales Data Analyst

About this role

The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: Cultivated a community of more than 650,000 active developers and builders Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register . We’re in a defining moment of an incredible journey. Come and build with us. Be the first dedicated analyst behind n8n's go-to-market motion. Our commercial motion has two engines running at once: a self-serve product that thousands of developers adopt on their own, and an enterprise sales team closing the accounts that grow out of it. We've moved to usage-based pricing, migrated to Salesforce, and built a serious data foundation. What we don't have yet is someone whose entire job is making sense of the sales side of it. That's this role. You'll own the analytics behind pipeline, funnel conversion and GTM planning, and partner with RevOps on the forecast - sitting inside the data team, embedded with RevOps and Sales, and in the room when the plan gets made. Your mission: make our sales org measurably better at forecasting, prioritising and converting Own pipeline analytics, support forecasting Build the models and views that tell us where pipeline actually stands - coverage, stage conversion, velocity, slippage. Support RevOps on forecasting: supply the analysis and accuracy tracking behind it, and be the person leadership trusts to explain the number when it's uncomfortable. Run win/loss analysis that goes past "price" and "timing" to something we can act on. Connect product-led growth to sales We have thousands of self-serve users and a sales team that can only talk to a fraction of them. Your job is to work out which fraction. Build account and lead scoring on product usage and firmographic signal, with RevOps and the product/customer analysts. Sharpen PQL and MQL definitions until reps trust what lands in their queue. Shape how we plan Model territories, quota and capacity for annual planning - and make the trade-offs visible. Segment the base: which accounts, which motions, which segments actually pay back the effort. Answer the questions that decide where the next euro of GTM spend goes. Build foundations people trust Partner with Analytics Engineering on Salesforce and product data models in dbt/BigQuery. Standardise metric definitions so "win rate" means one thing across sales, marketing and finance. Ship dashboards GTM managers genuinely run their week on - not decks that get opened once. Bring a point of view Sit in pipeline reviews and planning as a peer, not a reporting function. Push back constructively, including on the numbers people are attached to. Turn analysis into crisp, written recommendations that move decisions. Must-haves Senior GTM analytics chops: 5+ years in sales, revenue or GTM analytics at B2B SaaS, with real ownership of the sales funnel. Sales metrics fluency: pipeline coverage, stage conversion, velocity, win rate, ACV, quota attainment, ramp, ARR/NRR - you think in these natively. CRM depth: experience with Salesforce (or equivalent) - i

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